package com.aspire.aimini.service.impl;

import com.aspire.aimini.entity.AiConfig;
import com.aspire.aimini.entity.GenerationRecord;
import com.aspire.aimini.repository.GenerationRecordRepository;
import com.aspire.aimini.service.AiService;
import com.aspire.aimini.service.AiConfigService;
import lombok.RequiredArgsConstructor;
import lombok.extern.slf4j.Slf4j;
import org.springframework.stereotype.Service;
import org.springframework.transaction.annotation.Transactional;
import org.springframework.util.StringUtils;

import java.math.BigDecimal;
import java.time.LocalDateTime;
import java.util.*;
import java.util.concurrent.CompletableFuture;
import java.util.stream.Collectors;

/**
 * AI服务实现类
 *
 * @author wangguiyou
 * @date 2024-12-19
 */
@Slf4j
@Service
@RequiredArgsConstructor
public class AiServiceImpl implements AiService {

    private final AiConfigService aiConfigService;
    private final GenerationRecordRepository generationRecordRepository;

    /**
     * 图片标签识别
     *
     * @param imageUrl 图片URL
     * @param userId   用户ID
     * @return 识别的标签列表
     */
    @Override
    @Transactional(rollbackFor = Exception.class)
    public List<String> recognizeImageTags(String imageUrl, Long userId) {
        log.info("图片标签识别: imageUrl={}, userId={}", imageUrl, userId);

        long startTime = System.currentTimeMillis();
        GenerationRecord record = createGenerationRecord("IMAGE_TAG_RECOGNITION", userId, imageUrl);

        try {
            // 获取用户的AI配置
            AiConfig config = aiConfigService.getDefaultConfigByUserIdAndServiceType(userId, "IMAGE_RECOGNITION");
            if (config == null) {
                config = aiConfigService.getSystemDefaultConfig("IMAGE_RECOGNITION");
            }

            if (config == null) {
                throw new RuntimeException("未找到可用的图片识别配置");
            }

            // TODO: 调用具体的AI服务进行图片标签识别
            // 这里应该根据config中的提供商和模型调用相应的AI API
            List<String> tags = mockImageTagRecognition(imageUrl);

            // 更新生成记录
            updateGenerationRecordSuccess(record, tags.toString(),
                    System.currentTimeMillis() - startTime, config);

            return tags;

        } catch (Exception e) {
            log.error("图片标签识别失败: imageUrl={}, error={}", imageUrl, e.getMessage(), e);
            updateGenerationRecordFailure(record, e.getMessage(), System.currentTimeMillis() - startTime);
            throw new RuntimeException("图片标签识别失败: " + e.getMessage());
        }
    }

    /**
     * 文案生成
     *
     * @param materialId   素材ID
     * @param contentType  内容类型
     * @param style        风格
     * @param requirements 要求
     * @return 生成的文案
     */
    @Override
    @Transactional(rollbackFor = Exception.class)
    public String generateCopywriting(Long materialId, String contentType, String style, String requirements) {
        log.info("文案生成: materialId={}, contentType={}, style={}", materialId, contentType, style);

        long startTime = System.currentTimeMillis();
        GenerationRecord record = createGenerationRecord("COPYWRITING_GENERATION", null,
                String.format("materialId:%s,type:%s,style:%s", materialId, contentType, style));

        try {
            // 获取文案生成配置
            AiConfig config = aiConfigService.getSystemDefaultConfig("COPYWRITING_GENERATION");
            if (config == null) {
                throw new RuntimeException("未找到可用的文案生成配置");
            }

            // TODO: 调用具体的AI服务进行文案生成
            String copywriting = mockCopywritingGeneration(contentType, style, requirements);

            // 更新生成记录
            updateGenerationRecordSuccess(record, copywriting,
                    System.currentTimeMillis() - startTime, config);

            return copywriting;

        } catch (Exception e) {
            log.error("文案生成失败: materialId={}, error={}", materialId, e.getMessage(), e);
            updateGenerationRecordFailure(record, e.getMessage(), System.currentTimeMillis() - startTime);
            throw new RuntimeException("文案生成失败: " + e.getMessage());
        }
    }

    /**
     * 相似图片生成
     *
     * @param referenceImageUrl 参考图片URL
     * @param userId            用户ID
     * @return 生成的图片URL
     */
    @Override
    @Transactional(rollbackFor = Exception.class)
    public String generateSimilarImage(String referenceImageUrl, Long userId) {
        log.info("相似图片生成: referenceImageUrl={}, userId={}", referenceImageUrl, userId);

        long startTime = System.currentTimeMillis();
        GenerationRecord record = createGenerationRecord("SIMILAR_IMAGE_GENERATION", userId, referenceImageUrl);

        try {
            AiConfig config = aiConfigService.getDefaultConfigByUserIdAndServiceType(userId, "IMAGE_GENERATION");
            if (config == null) {
                config = aiConfigService.getSystemDefaultConfig("IMAGE_GENERATION");
            }

            if (config == null) {
                throw new RuntimeException("未找到可用的图片生成配置");
            }

            // TODO: 调用具体的AI服务进行相似图片生成
            String generatedImageUrl = mockImageGeneration(referenceImageUrl);

            updateGenerationRecordSuccess(record, generatedImageUrl,
                    System.currentTimeMillis() - startTime, config);

            return generatedImageUrl;

        } catch (Exception e) {
            log.error("相似图片生成失败: referenceImageUrl={}, error={}", referenceImageUrl, e.getMessage(), e);
            updateGenerationRecordFailure(record, e.getMessage(), System.currentTimeMillis() - startTime);
            throw new RuntimeException("相似图片生成失败: " + e.getMessage());
        }
    }

    /**
     * 图片内容分析
     *
     * @param imageUrl 图片URL
     * @param userId   用户ID
     * @return 分析结果
     */
    @Override
    @Transactional(rollbackFor = Exception.class)
    public String analyzeImageContent(String imageUrl, Long userId) {
        log.info("图片内容分析: imageUrl={}, userId={}", imageUrl, userId);

        long startTime = System.currentTimeMillis();
        GenerationRecord record = createGenerationRecord("IMAGE_CONTENT_ANALYSIS", userId, imageUrl);

        try {
            AiConfig config = aiConfigService.getDefaultConfigByUserIdAndServiceType(userId, "IMAGE_ANALYSIS");
            if (config == null) {
                config = aiConfigService.getSystemDefaultConfig("IMAGE_ANALYSIS");
            }

            if (config == null) {
                throw new RuntimeException("未找到可用的图片分析配置");
            }

            // TODO: 调用具体的AI服务进行图片内容分析
            String analysis = mockImageContentAnalysis(imageUrl);

            updateGenerationRecordSuccess(record, analysis,
                    System.currentTimeMillis() - startTime, config);

            return analysis;

        } catch (Exception e) {
            log.error("图片内容分析失败: imageUrl={}, error={}", imageUrl, e.getMessage(), e);
            updateGenerationRecordFailure(record, e.getMessage(), System.currentTimeMillis() - startTime);
            throw new RuntimeException("图片内容分析失败: " + e.getMessage());
        }
    }

    /**
     * 图片风格转换
     *
     * @param imageUrl    图片URL
     * @param targetStyle 目标风格
     * @param userId      用户ID
     * @return 转换后的图片URL
     */
    @Override
    @Transactional(rollbackFor = Exception.class)
    public String convertImageStyle(String imageUrl, String targetStyle, Long userId) {
        log.info("图片风格转换: imageUrl={}, targetStyle={}, userId={}", imageUrl, targetStyle, userId);

        long startTime = System.currentTimeMillis();
        GenerationRecord record = createGenerationRecord("IMAGE_STYLE_CONVERSION", userId,
                String.format("url:%s,style:%s", imageUrl, targetStyle));

        try {
            AiConfig config = aiConfigService.getDefaultConfigByUserIdAndServiceType(userId, "IMAGE_PROCESSING");
            if (config == null) {
                config = aiConfigService.getSystemDefaultConfig("IMAGE_PROCESSING");
            }

            if (config == null) {
                throw new RuntimeException("未找到可用的图片处理配置");
            }

            // TODO: 调用具体的AI服务进行图片风格转换
            String convertedImageUrl = mockImageStyleConversion(imageUrl, targetStyle);

            updateGenerationRecordSuccess(record, convertedImageUrl,
                    System.currentTimeMillis() - startTime, config);

            return convertedImageUrl;

        } catch (Exception e) {
            log.error("图片风格转换失败: imageUrl={}, targetStyle={}, error={}",
                    imageUrl, targetStyle, e.getMessage(), e);
            updateGenerationRecordFailure(record, e.getMessage(), System.currentTimeMillis() - startTime);
            throw new RuntimeException("图片风格转换失败: " + e.getMessage());
        }
    }

    /**
     * 图片背景移除
     *
     * @param imageUrl 图片URL
     * @param userId   用户ID
     * @return 移除背景后的图片URL
     */
    @Override
    @Transactional(rollbackFor = Exception.class)
    public String removeImageBackground(String imageUrl, Long userId) {
        log.info("图片背景移除: imageUrl={}, userId={}", imageUrl, userId);

        long startTime = System.currentTimeMillis();
        GenerationRecord record = createGenerationRecord("IMAGE_BACKGROUND_REMOVAL", userId, imageUrl);

        try {
            AiConfig config = aiConfigService.getDefaultConfigByUserIdAndServiceType(userId, "IMAGE_PROCESSING");
            if (config == null) {
                config = aiConfigService.getSystemDefaultConfig("IMAGE_PROCESSING");
            }

            if (config == null) {
                throw new RuntimeException("未找到可用的图片处理配置");
            }

            // TODO: 调用具体的AI服务进行背景移除
            String processedImageUrl = mockBackgroundRemoval(imageUrl);

            updateGenerationRecordSuccess(record, processedImageUrl,
                    System.currentTimeMillis() - startTime, config);

            return processedImageUrl;

        } catch (Exception e) {
            log.error("图片背景移除失败: imageUrl={}, error={}", imageUrl, e.getMessage(), e);
            updateGenerationRecordFailure(record, e.getMessage(), System.currentTimeMillis() - startTime);
            throw new RuntimeException("图片背景移除失败: " + e.getMessage());
        }
    }

    /**
     * 图片质量增强
     *
     * @param imageUrl 图片URL
     * @param userId   用户ID
     * @return 增强后的图片URL
     */
    @Override
    @Transactional(rollbackFor = Exception.class)
    public String enhanceImageQuality(String imageUrl, Long userId) {
        log.info("图片质量增强: imageUrl={}, userId={}", imageUrl, userId);

        long startTime = System.currentTimeMillis();
        GenerationRecord record = createGenerationRecord("IMAGE_QUALITY_ENHANCEMENT", userId, imageUrl);

        try {
            AiConfig config = aiConfigService.getDefaultConfigByUserIdAndServiceType(userId, "IMAGE_PROCESSING");
            if (config == null) {
                config = aiConfigService.getSystemDefaultConfig("IMAGE_PROCESSING");
            }

            if (config == null) {
                throw new RuntimeException("未找到可用的图片处理配置");
            }

            // TODO: 调用具体的AI服务进行图片质量增强
            String enhancedImageUrl = mockImageQualityEnhancement(imageUrl);

            updateGenerationRecordSuccess(record, enhancedImageUrl,
                    System.currentTimeMillis() - startTime, config);

            return enhancedImageUrl;

        } catch (Exception e) {
            log.error("图片质量增强失败: imageUrl={}, error={}", imageUrl, e.getMessage(), e);
            updateGenerationRecordFailure(record, e.getMessage(), System.currentTimeMillis() - startTime);
            throw new RuntimeException("图片质量增强失败: " + e.getMessage());
        }
    }

    /**
     * 文本转图片
     *
     * @param text   文本描述
     * @param style  图片风格
     * @param userId 用户ID
     * @return 生成的图片URL
     */
    @Override
    @Transactional(rollbackFor = Exception.class)
    public String textToImage(String text, String style, Long userId) {
        log.info("文本转图片: text={}, style={}, userId={}", text, style, userId);

        long startTime = System.currentTimeMillis();
        GenerationRecord record = createGenerationRecord("TEXT_TO_IMAGE", userId,
                String.format("text:%s,style:%s", text, style));

        try {
            AiConfig config = aiConfigService.getDefaultConfigByUserIdAndServiceType(userId, "IMAGE_GENERATION");
            if (config == null) {
                config = aiConfigService.getSystemDefaultConfig("IMAGE_GENERATION");
            }

            if (config == null) {
                throw new RuntimeException("未找到可用的图片生成配置");
            }

            // TODO: 调用具体的AI服务进行文本转图片
            String generatedImageUrl = mockTextToImage(text, style);

            updateGenerationRecordSuccess(record, generatedImageUrl,
                    System.currentTimeMillis() - startTime, config);

            return generatedImageUrl;

        } catch (Exception e) {
            log.error("文本转图片失败: text={}, style={}, error={}", text, style, e.getMessage(), e);
            updateGenerationRecordFailure(record, e.getMessage(), System.currentTimeMillis() - startTime);
            throw new RuntimeException("文本转图片失败: " + e.getMessage());
        }
    }

    /**
     * 图片转文本描述
     *
     * @param imageUrl 图片URL
     * @param userId   用户ID
     * @return 文本描述
     */
    @Override
    @Transactional(rollbackFor = Exception.class)
    public String imageToText(String imageUrl, Long userId) {
        log.info("图片转文本描述: imageUrl={}, userId={}", imageUrl, userId);

        long startTime = System.currentTimeMillis();
        GenerationRecord record = createGenerationRecord("IMAGE_TO_TEXT", userId, imageUrl);

        try {
            AiConfig config = aiConfigService.getDefaultConfigByUserIdAndServiceType(userId, "IMAGE_ANALYSIS");
            if (config == null) {
                config = aiConfigService.getSystemDefaultConfig("IMAGE_ANALYSIS");
            }

            if (config == null) {
                throw new RuntimeException("未找到可用的图片分析配置");
            }

            // TODO: 调用具体的AI服务进行图片转文本
            String description = mockImageToText(imageUrl);

            updateGenerationRecordSuccess(record, description,
                    System.currentTimeMillis() - startTime, config);

            return description;

        } catch (Exception e) {
            log.error("图片转文本描述失败: imageUrl={}, error={}", imageUrl, e.getMessage(), e);
            updateGenerationRecordFailure(record, e.getMessage(), System.currentTimeMillis() - startTime);
            throw new RuntimeException("图片转文本描述失败: " + e.getMessage());
        }
    }

    /**
     * 获取用户AI配置
     *
     * @param userId 用户ID
     * @return AI配置列表
     */
    @Override
    public List<AiConfig> getUserAiConfigs(Long userId) {
        log.info("获取用户AI配置: userId={}", userId);
        return aiConfigService.getConfigsByUserId(userId);
    }

    /**
     * 检查AI服务可用性
     *
     * @param serviceType 服务类型
     * @param userId      用户ID
     * @return 是否可用
     */
    @Override
    public boolean checkAiServiceAvailability(String serviceType, Long userId) {
        log.info("检查AI服务可用性: serviceType={}, userId={}", serviceType, userId);

        try {
            AiConfig config = aiConfigService.getDefaultConfigByUserIdAndServiceType(userId, serviceType);
            if (config == null) {
                config = aiConfigService.getSystemDefaultConfig(serviceType);
            }

            return config != null && aiConfigService.isConfigAvailable(config.getId());
        } catch (Exception e) {
            log.error("检查AI服务可用性失败: serviceType={}, userId={}, error={}",
                    serviceType, userId, e.getMessage());
            return false;
        }
    }

    /**
     * 获取AI服务使用统计
     *
     * @param userId 用户ID
     * @param days   天数
     * @return 使用统计
     */
    @Override
    public Map<String, Object> getAiServiceUsageStatistics(Long userId, int days) {
        log.info("获取AI服务使用统计: userId={}, days={}", userId, days);

        // TODO: 从GenerationRecordRepository获取统计数据
        Map<String, Object> statistics = new HashMap<>();
        statistics.put("totalRequests", 0);
        statistics.put("successfulRequests", 0);
        statistics.put("failedRequests", 0);
        statistics.put("totalCost", BigDecimal.ZERO);
        statistics.put("averageResponseTime", 0);

        return statistics;
    }

    /**
     * 批量处理图片标签识别
     *
     * @param imageUrls 图片URL列表
     * @param userId    用户ID
     * @return 识别结果映射
     */
    @Override
    public Map<String, List<String>> batchRecognizeImageTags(List<String> imageUrls, Long userId) {
        log.info("批量处理图片标签识别: imageUrls={}, userId={}", imageUrls.size(), userId);

        if (imageUrls == null || imageUrls.isEmpty()) {
            return Collections.emptyMap();
        }

        Map<String, List<String>> results = new HashMap<>();

        // 使用并行处理提高效率
        List<CompletableFuture<Void>> futures = imageUrls.stream()
                .map(imageUrl -> CompletableFuture.runAsync(() -> {
                    try {
                        List<String> tags = recognizeImageTags(imageUrl, userId);
                        synchronized (results) {
                            results.put(imageUrl, tags);
                        }
                    } catch (Exception e) {
                        log.error("批量图片标签识别失败: imageUrl={}, error={}", imageUrl, e.getMessage());
                        synchronized (results) {
                            results.put(imageUrl, Collections.emptyList());
                        }
                    }
                }))
                .collect(Collectors.toList());

        // 等待所有任务完成
        CompletableFuture.allOf(futures.toArray(new CompletableFuture[0])).join();

        return results;
    }

    /**
     * 批量生成文案
     *
     * @param requests 生成请求列表
     * @return 生成结果列表
     */
    @Override
    public List<String> batchGenerateCopywriting(List<Map<String, Object>> requests) {
        log.info("批量生成文案: requests={}", requests.size());

        if (requests == null || requests.isEmpty()) {
            return Collections.emptyList();
        }

        return requests.stream()
                .map(request -> {
                    try {
                        Long materialId = (Long) request.get("materialId");
                        String contentType = (String) request.get("contentType");
                        String style = (String) request.get("style");
                        String requirements = (String) request.get("requirements");

                        return generateCopywriting(materialId, contentType, style, requirements);
                    } catch (Exception e) {
                        log.error("批量文案生成失败: request={}, error={}", request, e.getMessage());
                        return "生成失败: " + e.getMessage();
                    }
                })
                .collect(Collectors.toList());
    }

    /**
     * 获取支持的AI服务类型
     *
     * @return 服务类型列表
     */
    @Override
    public List<String> getSupportedAiServiceTypes() {
        log.info("获取支持的AI服务类型");

        return Arrays.asList(
                "IMAGE_RECOGNITION",
                "IMAGE_GENERATION",
                "IMAGE_ANALYSIS",
                "IMAGE_PROCESSING",
                "COPYWRITING_GENERATION",
                "TEXT_TO_IMAGE",
                "IMAGE_TO_TEXT");
    }

    /**
     * 获取支持的AI服务提供商
     *
     * @return 提供商列表
     */
    @Override
    public List<String> getSupportedAiProviders() {
        log.info("获取支持的AI服务提供商");

        return Arrays.asList(
                "OpenAI",
                "Google",
                "Baidu",
                "Alibaba",
                "Tencent",
                "ByteDance",
                "Stability AI",
                "Midjourney");
    }

    /**
     * 获取支持的AI模型
     *
     * @param provider 提供商
     * @return 模型列表
     */
    @Override
    public List<String> getSupportedAiModels(String provider) {
        log.info("获取支持的AI模型: provider={}", provider);

        Map<String, List<String>> providerModels = new HashMap<>();
        providerModels.put("OpenAI", Arrays.asList("gpt-4", "gpt-3.5-turbo", "dall-e-3", "dall-e-2"));
        providerModels.put("Google", Arrays.asList("gemini-pro", "gemini-pro-vision"));
        providerModels.put("Baidu", Arrays.asList("ernie-bot", "ernie-vilg"));
        providerModels.put("Alibaba", Arrays.asList("qwen-max", "qwen-plus"));

        return providerModels.getOrDefault(provider, Collections.emptyList());
    }

    /**
     * 测试AI配置连接
     *
     * @param configId 配置ID
     * @return 测试结果
     */
    @Override
    public boolean testAiConfigConnection(Long configId) {
        log.info("测试AI配置连接: configId={}", configId);

        try {
            return aiConfigService.testConnection(configId);
        } catch (Exception e) {
            log.error("测试AI配置连接失败: configId={}, error={}", configId, e.getMessage());
            return false;
        }
    }

    /**
     * 获取AI服务价格信息
     *
     * @param provider 提供商
     * @param model    模型
     * @return 价格信息
     */
    @Override
    public Map<String, Object> getAiServicePricing(String provider, String model) {
        log.info("获取AI服务价格信息: provider={}, model={}", provider, model);

        // TODO: 从配置或数据库获取实际价格信息
        Map<String, Object> pricing = new HashMap<>();
        pricing.put("provider", provider);
        pricing.put("model", model);
        pricing.put("inputTokenPrice", new BigDecimal("0.001"));
        pricing.put("outputTokenPrice", new BigDecimal("0.002"));
        pricing.put("imagePrice", new BigDecimal("0.02"));
        pricing.put("currency", "USD");

        return pricing;
    }

    /**
     * 计算AI服务消耗成本
     *
     * @param provider     提供商
     * @param model        模型
     * @param inputTokens  输入Token数
     * @param outputTokens 输出Token数
     * @param imageCount   图片数量
     * @return 消耗成本
     */
    @Override
    public BigDecimal calculateAiServiceCost(String provider, String model, int inputTokens,
            int outputTokens, int imageCount) {
        log.info("计算AI服务消耗成本: provider={}, model={}, inputTokens={}, outputTokens={}, imageCount={}",
                provider, model, inputTokens, outputTokens, imageCount);

        Map<String, Object> pricing = getAiServicePricing(provider, model);

        BigDecimal inputCost = ((BigDecimal) pricing.get("inputTokenPrice")).multiply(new BigDecimal(inputTokens));
        BigDecimal outputCost = ((BigDecimal) pricing.get("outputTokenPrice")).multiply(new BigDecimal(outputTokens));
        BigDecimal imageCost = ((BigDecimal) pricing.get("imagePrice")).multiply(new BigDecimal(imageCount));

        return inputCost.add(outputCost).add(imageCost);
    }

    /**
     * 获取用户AI配额使用情况
     *
     * @param userId 用户ID
     * @return 配额使用情况
     */
    @Override
    public Map<String, Object> getUserAiQuotaUsage(Long userId) {
        log.info("获取用户AI配额使用情况: userId={}", userId);

        // TODO: 从数据库获取实际配额使用情况
        Map<String, Object> quotaUsage = new HashMap<>();
        quotaUsage.put("userId", userId);
        quotaUsage.put("totalQuota", 1000);
        quotaUsage.put("usedQuota", 150);
        quotaUsage.put("remainingQuota", 850);
        quotaUsage.put("resetDate", LocalDateTime.now().plusDays(30));

        return quotaUsage;
    }

    /**
     * 重置用户每日配额
     *
     * @param userId 用户ID
     */
    @Override
    @Transactional(rollbackFor = Exception.class)
    public void resetUserDailyQuota(Long userId) {
        log.info("重置用户每日配额: userId={}", userId);

        try {
            aiConfigService.resetTodayUsage(userId);
        } catch (Exception e) {
            log.error("重置用户每日配额失败: userId={}, error={}", userId, e.getMessage(), e);
            throw new RuntimeException("重置用户每日配额失败: " + e.getMessage());
        }
    }

    // 私有辅助方法

    /**
     * 创建生成记录
     */
    private GenerationRecord createGenerationRecord(String generationType, Long userId, String inputData) {
        GenerationRecord record = new GenerationRecord();
        record.setGenerationType(generationType);
        record.setUserId(userId);
        record.setInputData(inputData);
        record.setStatus("PROCESSING");
        record.setCreatedAt(LocalDateTime.now());

        generationRecordRepository.insert(record);
        return record;
    }

    /**
     * 更新生成记录为成功
     */
    private void updateGenerationRecordSuccess(GenerationRecord record, String outputData,
            long duration, AiConfig config) {
        record.setOutputData(outputData);
        record.setStatus("SUCCESS");
        record.setDuration(duration);
        record.setAiProvider(config.getProvider());
        record.setAiModel(config.getModel());
        record.setUpdatedAt(LocalDateTime.now());

        generationRecordRepository.updateById(record);
    }

    /**
     * 更新生成记录为失败
     */
    private void updateGenerationRecordFailure(GenerationRecord record, String errorMessage, long duration) {
        record.setStatus("FAILED");
        record.setErrorMessage(errorMessage);
        record.setDuration(duration);
        record.setUpdatedAt(LocalDateTime.now());

        generationRecordRepository.updateById(record);
    }

    // Mock方法，实际实现时应该调用真实的AI服务

    private List<String> mockImageTagRecognition(String imageUrl) {
        return Arrays.asList("风景", "自然", "蓝天", "白云", "山脉");
    }

    private String mockCopywritingGeneration(String contentType, String style, String requirements) {
        return String.format("这是一段%s风格的%s文案，根据要求：%s生成的内容。", style, contentType, requirements);
    }

    private String mockImageGeneration(String referenceImageUrl) {
        return "/generated/similar_" + System.currentTimeMillis() + ".jpg";
    }

    private String mockImageContentAnalysis(String imageUrl) {
        return "这是一张包含自然风景的图片，主要元素包括山脉、天空和植被。";
    }

    private String mockImageStyleConversion(String imageUrl, String targetStyle) {
        return "/processed/style_" + targetStyle + "_" + System.currentTimeMillis() + ".jpg";
    }

    private String mockBackgroundRemoval(String imageUrl) {
        return "/processed/no_bg_" + System.currentTimeMillis() + ".png";
    }

    private String mockImageQualityEnhancement(String imageUrl) {
        return "/processed/enhanced_" + System.currentTimeMillis() + ".jpg";
    }

    private String mockTextToImage(String text, String style) {
        return "/generated/text2img_" + System.currentTimeMillis() + ".jpg";
    }

    private String mockImageToText(String imageUrl) {
        return "这是一张描述性的图片，包含了丰富的视觉元素和细节。";
    }
}